Master’s Econometrics and Operations Research

Vrije Universiteit

Amsterdam, The Netherlands

2021 - 2020

• The master focuses on developments in theory, methodology and application of econometric and statistical methods for the analysis of Big Data. I am currently enrolled in two specializations: Financial Econometrics, and Econometrics and Data Science.

Master in Economics: Empirical Application and Policies

EHU/UPV

Bilbo, Spain

2020 - 2019

• Learning of the theoretical, empirical and computational methods that economists use to understand markets and analyze data. Fully taught in English. Academic average of ~9.0/10.
• Thesis: “Social class segregation in upper-secondary school choice in Canada”.. Done in R, using 2012 PISA data, and a multinomial logit model as central axis (9.5/10)

Degree in Economics

University of Malaga

Malaga, Spain

2019 - 2015

• Thesis: “Computable Dynamic General Equilibrium with free hardware and software”, with honors, done in Python with a Raspberry Pi.
• One of the 10 best academic careers of the Economics degree 2015/2019.

Coursed two years of the Double degree in Mechanical and Electrical Engineering

University of Malaga

Malaga, Spain

2015 - 2013

• I had always enjoyed Mathematics and Natural Sciences, so I assumed that engineering would be a fitting a choice. From these two years I got my interest on programming, as I was taught C++, and although it was highly educational, I realized it was not the right choice for me.

Bachelor of Science

Colegio Ecos

Marbella, Spain

2013 - 2011

• Academic average of 9.32/10.00

Data Science

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• I have strong quantitative and computational skills, handling a wide array of tools and programming lenguages to do so, from R to Python, Matlab and evolutionary computing techniques. I have learnt to analyze and understand data from different fields and databases, such as labor, energy and cultural markets, PISA, EUKlems and MCVL.

Financial Data Analysis

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• A recent interest of mine, I have developed good skills handling financial data from the VU master’s courses, including binomial trees, volatility measures (GARCH, GAS models), and the Black-Scholes.

Econometrics/statistics

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• I master many econometric and statistical methods, such as the GARCH and SESTAR models, regression of qualitative dependent variables, time series and panel data analysis. I have a good understanding on the theoretical and practical components of the most popular econometric methods, and how to apply them to large quantities of data to construct models.

Social Sciences Component

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• Having coursed Behavioural Economics and having studied other topics related to the social aspects of the human psyque, allows me to interpret results where there is a large human component.

Micro and Macroeconomics knowledge

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• Game theory, market analysis, DSGE models, monetary markets, growth theory… are some of the relevant fields I am profficient in, both from a theorical and practical approach.

Spanish

Native

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English

Advanced level, also in academic environment

Cambridge

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• Cambridge English: Advanced (CAE)
• One school year in King’s Bruton, Somerset.

German

Initiate level

Goethe Institut

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• A2 Goethe-Zertifikat
• Two weeks deutsch course in Garmisch-Partenkirchen.
  
  

Data Science, Finance

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• I want to improve my current data analysis skills, extend them to the field of Finance, and apply them in a more practical/business related approach.

Consultant Assistant

Malaga, Spain

PLAYS Consultores

2019

• I spent three months working in PLAYS, a consultancy agency in Malaga city. I mainly did accounting and business analysis.